Surya Pemmaraju

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A modular, unsupervised neural network architecture that can be used for clustering and classification of complex data sets is presented. The adaptive fuzzy leader clustering (AFLC) architecture is a hybrid neural-fuzzy system that learns online in a stable and efficient manner. The system used a control structure similar to that found in the adaptive(More)
This paper shows that TDMA slot assignment for unicast communication in a wireless network can be distributively computed for an n-node acyclic network in O(polylog(n)) time, with high probability. The best previous distributed algorithm for this problem requires O(n) time and obtains a TDMA schedule using 2Delta time slots. The new algorithm uses(More)
Recent developments in neuro-fuzzy systems indicate that the concepts of adaptive pattern recognition when used to identify appropriate control actions corresponding to clusters of patterns representing system states in dynamic nonlinear control systems, may result in innovative designs. A modular, unsupervised neural network architecture, in which fuzzy(More)
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